Papers
Topics
Authors
Recent
Gemini 2.5 Flash
Gemini 2.5 Flash
169 tokens/sec
GPT-4o
7 tokens/sec
Gemini 2.5 Pro Pro
45 tokens/sec
o3 Pro
4 tokens/sec
GPT-4.1 Pro
38 tokens/sec
DeepSeek R1 via Azure Pro
28 tokens/sec
2000 character limit reached

Anchor Pair Selection in TDOA Positioning Systems by Door Transition Error Minimization (2404.15330v1)

Published 7 Apr 2024 in eess.SP and cs.LG

Abstract: This paper presents an adaptive anchor pairs selection algorithm for UWB (ultra-wideband) TDOA-based (Time Difference of Arrival) indoor positioning systems. The method assumes dividing the system operation area into zones. The most favorable anchor pairs are selected by minimizing the positioning errors in doorways leading to these zones where possible users' locations are limited to small, narrow areas. The sets are determined separately for going in and out of the zone to take users' body shadowing into account. The determined anchor pairs are then used to calculate TDOA values and localize the user moving around the apartment with an Extended Kalman Filter based algorithm. The method was tested experimentally in a furnished apartment. The results have shown that the adaptive selection of the anchor pairs leads to an increase in the user's localization accuracy. The median trajectory error was about 0.32 m.

Definition Search Book Streamline Icon: https://streamlinehq.com
References (11)
  1. V. Barral, C. J. Escudero, J. A. García-Naya, and R. Maneiro-Catoira, “NLOS Identification and Mitigation Using Low-Cost UWB Devices,” Sensors (Basel, Switzerland), vol. 19, no. 16, p. 3464, Aug. 2019.
  2. Y. Zou and H. Liu, “An Efficient NLOS Errors Mitigation Algorithm for TOA-Based Localization,” Sensors (Basel, Switzerland), vol. 20, no. 5, p. 1403, Mar. 2020.
  3. T. Otim, A. Bahillo, L. E. Diez, P. Lopez-Iturri, and F. Falcone, “FDTD and Empirical Exploration of Human Body and UWB Radiation Interaction on TOF Ranging,” IEEE Antennas and Wireless Propagation Letters, vol. 18, no. 6, pp. 1119–1123, Jun. 2019.
  4. V. Cantón Paterna, A. Calveras Augé, J. Paradells Aspas, and M. Pérez Bullones, “A Bluetooth Low Energy Indoor Positioning System with Channel Diversity, Weighted Trilateration and Kalman Filtering,” Sensors, vol. 17, no. 12, p. 2927, Dec. 2017.
  5. Z. Dai, G. Wang, X. Jin, and X. Lou, “Nearly Optimal Sensor Selection for TDOA-Based Source Localization in Wireless Sensor Networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 10, pp. 12 031–12 042, Oct. 2020.
  6. R. Kaune and F. Fkie, “Accuracy studies for TDOA and TOA localization,” 2012 15th International Conference on Information Fusion, 2012, pp. 408-415
  7. Fei Long, A. Behnad, and Xianbin Wang, “Optimum reference node deployment for indoor localization based on the average Mean Square Error minimization,” in 2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC).   Nanjing, China: IEEE, Dec. 2015, pp. 1–6.
  8. S. Monica and G. Ferrari, “UWB-based localization in large indoor scenarios: Optimized placement of anchor nodes,” IEEE Transactions on Aerospace and Electronic Systems, vol. 51, no. 2, pp. 987–999, Apr. 2015.
  9. M. Kolakowski, “Adaptive Anchor Pairs Selection in a TDOA-based System Through Robot Localization Error Minimization,” in 2021 Signal Processing Symposium (SPSympo).   LODZ, Poland: IEEE, Sep. 2021, pp. 128–132.
  10. “Retinanet (SSD with Resnet 50 v1) Object detection model, trained on COCO 2017 dataset with trainning images scaled to 640x640,” https://tfhub.dev/tensorflow/retinanet/resnet50_v1_fpn_640x640/1.
  11. J. Kolakowski, V. Djaja-Josko, M. Kolakowski, and K. Broczek, “UWB/BLE Tracking System for Elderly People Monitoring,” Sensors, vol. 20, no. 6, p. 1574, Jan. 2020.

Summary

We haven't generated a summary for this paper yet.